Files
NexQuant/rdagent/app/kaggle/conf.py
T
WinstonLiyt 21abde2219 feat: add qlib_factor_strategy (#307)
* add qlib_factor_strategy

* refine the code of action choosing

* fix a bug

* feat: template for kaggle (#308)

* init for s3e26

* ci issue

* fix a small bug in model runner which might cause error when model is the first try (#309)

* update

---------

Co-authored-by: Haoran Pan <167847254+TPLin22@users.noreply.github.com>
Co-authored-by: Xu Yang <peteryang@vip.qq.com>
2024-09-24 15:03:18 +08:00

60 lines
1.9 KiB
Python

from pathlib import Path
from pydantic_settings import BaseSettings
from rdagent.components.workflow.conf import BasePropSetting
class KaggleBasePropSetting(BasePropSetting):
class Config:
env_prefix = "KG_"
"""Use `KG_` as prefix for environment variables"""
protected_namespaces = ()
"""Do not allow overriding of these namespaces"""
# 1) overriding the default
scen: str = "rdagent.scenarios.kaggle.experiment.scenario.KGScenario"
"""Scenario class for data mining model"""
knowledge_base: str = "" # TODO enable this line to use the knowledge base
# knowledge_base: str = "rdagent.scenarios.kaggle.knowledge_management.graph.KGKnowledgeGraph"
"""Knowledge base class"""
knowledge_base_path: str = "kg_graph.pkl"
"""Knowledge base path"""
hypothesis_gen: str = "rdagent.scenarios.kaggle.proposal.proposal.KGHypothesisGen"
"""Hypothesis generation class"""
hypothesis2experiment: str = "rdagent.scenarios.kaggle.proposal.proposal.KGHypothesis2Experiment"
"""Hypothesis to experiment class"""
feature_coder: str = "rdagent.scenarios.kaggle.developer.coder.KGFactorCoSTEER"
"""Feature Coder class"""
model_coder: str = "rdagent.scenarios.kaggle.developer.coder.KGModelCoSTEER"
"""Model Coder class"""
feature_runner: str = "rdagent.scenarios.kaggle.developer.runner.KGFactorRunner"
"""Feature Runner class"""
model_runner: str = "rdagent.scenarios.kaggle.developer.runner.KGModelRunner"
"""Model Runner class"""
summarizer: str = "rdagent.scenarios.kaggle.developer.feedback.KGHypothesisExperiment2Feedback"
"""Summarizer class"""
evolving_n: int = 10
"""Number of evolutions"""
competition: str = ""
local_data_path: str = "/data/userdata/share/kaggle"
rag_path: str = "git_ignore_folder/rag"
if_action_choosing_based_on_UCB: bool = False
KAGGLE_IMPLEMENT_SETTING = KaggleBasePropSetting()